Create Business Impact + Get Recognized as a Data Scientist

Data science and ML practitioners struggle to create business impact and have their solutions adopted. It's more than just technical skills. Join Daliana and Damien to learn the strategies you can use to translate data and models into business impact and get the recognition you deserve.

You'll learn from

Daliana Liu

Former Sr. Data Scientist at Amazon

I'm an ex-Amazon Senior Data Scientist with 7 years of experience in data science & ML. I have 200K followers on Linkedin talking about data science and career. I host a top 200 US tech podcast "the data scientist show".

I have a Master degree from UC-Irvine in Statistics. I have worked on various domain in data science&ML: I built the first time series forecasting model for advertising at Boingo Wireless; analyzed and helped launch over 100 A/B tests at Amazon.com and have a US patent on experimentation with my colleagues. I built ML models for AWS customers from various industries to accelerate their business and products.

Damien Beneveste

Former ML Tech Lead at Meta

I have been a Data Scientist, Machine Learning Engineer and Software Engineer. I have led various Machine Learning projects in diverse industry sectors such as AdTech, Market Research, Financial Advising, Cloud Management, online retail, marketing, credit score modeling, data storage, healthcare and energy valuation. Recently, I was a Machine Learning Tech Lead at Meta on the automation at scale of model optimization for Ads ranking.

Currently, he teaches machine learning at AIEdge.

Previously at Amazon, Meta